What are the prerequisites for using AWS FinOps MCP Server?
You need Python 3.10+, the AWS CLI installed and configured, at least one AWS profile with read‑only IAM permissions, and an MCP‑compatible client (e.g., Claude Desktop).
@ravikiranvm
基本情報
An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"aws-finops-mcp-server": {
"command": "python",
"args": [
"-m",
"pip",
"install",
"--user",
"pipx"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
An MCP (Model Context Protocol) server that brings AWS FinOps capabilities into your AI assistant. It analyzes cloud costs, audits for waste, and provides budget insights using natural language, while keeping your credentials secure on your local machine.
Install via pipx install aws-finops-mcp-server (or using uv). Configure one or more AWS CLI profiles. Then add the server to your MCP client’s configuration file (e.g., Claude for Desktop’s claude_desktop_config.json). After restarting the client, ask questions about your AWS finances in plain English.
You need Python 3.10+, the AWS CLI installed and configured, at least one AWS profile with read‑only IAM permissions, and an MCP‑compatible client (e.g., Claude Desktop).
Each `get_cost` call makes 2 calls to the AWS Cost Explorer API, costing $0.01. The `run_finops_audit` tool uses other AWS APIs (EC2, Budgets) that are generally in the free tier or have negligible cost.
Claude Desktop and Amazon Q CLI are explicitly supported. Any MCP‑compatible client that supports tools can also be used.
The IAM policy must allow the following read‑only actions: `ce:GetCostAndUsage`, `budgets:ViewBudget`, `ec2:DescribeInstances`, `ec2:DescribeVolumes`, `ec2:DescribeAddresses`, and `sts:GetCallerIdentity`.
The server runs locally and uses your existing AWS CLI configuration. Credentials never leave your machine; API calls are made directly from your local environment to AWS.
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